A proposed framework using spectral and spatial information is introduced for neural net multisensor data fusion. This consists of a set of independent-sensor neural nets, one for each sensor (type of data), coupled to a fusion net. The neural net of each sensor is trained from a representative data set of the particular sensor to map to a hypothesis space output. The decision outputs from the ...

In this paper, we propose an approach for assigning an interest level to the goals of a planetary rover. Assigning an interest level to goals, allows the rover autonomously to transform and reallocate the goals. The interest level is defined by data-fusing payload and navigation information. The fusion yields an"interest map", that quantifies the level of interest of each area around the rover....

We explain how multiplicative bundle gerbes over a compact, connected and simple Lie group G lead to a certain fusion category of equivariant bundle gerbe modules given by pre-quantizable Hamiltonian LG-manifolds arising from Alekseev-Malkin-Meinrenken’s quasiHamiltonian G-spaces. The motivation comes from string theory namely, by generalising the notion of D-branes in G to allow subsets of G t...

-To extract fine details from input bracketed images and preserve them in the final image, a novel exposure fusion method based on the nonsubsampled contourlet transform (NSCT) is presented in this paper,in which unique visual weight map is used for the detail extraction and an improved weight measurement is developed to remove the motion objects in dynamic scenes. Furthermore, a fast algorithm...

This paper presents an approach that provides extended vehicle location information based on multi sensor data fusion. Firstly, the vehicle location, a recommended speed level referred to this location and a confidence level attached to this speed evaluation are determined thanks to the digital road map of a navigation system. At the same time, a speed sign recognition device based on image pro...

©2009 by The Japan Society of Plasma Science and Nuclear Fusion Research (Received: 3 September 2008 / Accepted: 5 January 2009) Numeri al Investigation of Velo ity Map of Outward Ele trons Penetrating in Heli al Magneti Surfa es Kazutaka NAKAMURA1), Haruhiko HIMURA1), Mitsutaka ISOBE2), Akio SANPEI1), and Sadao MASAMUNE1) 1)Kyoto Institute of Te hnology, Department of Ele troni s, Matsugasaki,...

Reliable and real-time 3D reconstruction and localization functionality is a crucial prerequisite for the navigation of actively controlled capsule endoscopic robots as an emerging, minimally invasive diagnostic and therapeutic technology for use in the gastrointestinal (GI) tract. In this study, we propose a fully dense, non-rigidly deformable, strictly realtime, intraoperative map fusion appr...

We present a formal method for data fusion, based on possibilistic logic. The method has been applied to a real-world problem of noisy sensor-data fusion: the position estimation of an autonomous mobile robot navigating in an approximately and partially known office environment using a topological map. Each place in the map is characterized by a set of logical formulae axiomatizing both symboli...

Vegetative fusion is essential for the development of an interconnected colony in many filamentous fungi. In the ascomycete fungus Neurospora crassa, vegetative fusion occurs between germinated conidia (germlings) via specialized structures termed "conidial anastomosis tubes" (CATs) and between hyphae within a mature colony. In N. crassa, both CAT and hyphal fusion are under the regulation of a...

Glaucoma is a type of visual impairment that caused due to damage in the optic nerve. The vision loss increases from peripheral towards central vision, leading blindness if untreated. proposed approach Computer-Aided Detection (CADe) system using deep learning screen field glaucoma patients while performing different day-to-day activities such as searching objects, viewing photographs, etc. Inc...